Basis Function Construction

Basis Function Construction is a feature construction method that expands the original input space into a higher-dimensional space through a set of predefined or learned functions, enabling the modeling of nonlinear relationships while preserving linear combinability in the transformed space.

358

Publications

45.2K

Citations

853

Authors

412

Institutions

Publications per year

2017–2026

54

Authors

853

  1. AA
    Adriaan A. Lammertsma

    Amsterdam UMC Location Vrije Universiteit Amsterdam, Netherlands

    4 publications · 192 citations

    4

    h-index

  2. NK
    N.B. Karayiannis

    University of Houston, United States

    4 publications · 728 citations

    4

    h-index

  3. RB
    Ronald Boellaard

    Amsterdam UMC Location Vrije Universiteit Amsterdam, Netherlands

    4 publications · 192 citations

    4

    h-index

  4. MM
    M.T. Manry

    The University of Texas at Arlington, United States

    3 publications · 41 citations

    3

    h-index

  5. MT
    Masanori Tachikawa

    Yokohama City University, Japan

    3 publications · 171 citations

    3

    h-index

1–5 of 853

Venues

  1. The Journal of Chemical Physics

    30 publications · 27.7K citations

    20

    h-index

  2. International Journal of Quantum Chemistry

    8 publications · 362 citations

    8

    h-index

  3. Chemical Physics Letters

    8 publications · 150 citations

    8

    h-index

  4. IEEE Transactions on Neural Networks

    6 publications · 854 citations

    6

    h-index

  5. Neurocomputing

    6 publications · 144 citations

    6

    h-index

1–5